Asymmetry of cross correlations between intra-day and overnight volatilities
Rubina Zadourian, Peter Grassberger

TL;DR
This paper reveals a significant time asymmetry in the cross correlations between intra-day and overnight stock volatilities, showing that overnight volatility predicts next-day intra-day volatility, but not vice versa.
Contribution
It uncovers a robust and simple asymmetry in cross correlations of volatilities, highlighting predictive relationships in stock market volatility dynamics.
Findings
Overnight volatility positively correlates with next-day intra-day volatility.
The asymmetry in correlations is robust across different conditions.
The effect is simple and not previously well documented.
Abstract
We point out a stunning time asymmetry in the short time cross correlations between intra-day and overnight volatilities (absolute values of log-returns of stock prices). While overnight volatility is significantly (and positively) correlated with the intra-day volatility during the \textit{following} day (allowing thus non-trivial predictions), it is much less correlated with the intra-day volatility during the \textit{preceding} day. While the effect is not unexpected in view of previous observations, its robustness and extreme simplicity are remarkable.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Market Dynamics and Volatility · Financial Risk and Volatility Modeling
